AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it provides a simple, transparent, and user …

Dec 31, 2024 · Want to give your AI agent the power to write and execute code safely? Here's how to build a secure Python execution environment in under 30 minutes using Jupyter Kernel Gateway. As AI agents become more capable, they need secure environments to execute code. Traditional approaches like subprocess calls or eval () are dangerous and limited.

Apr 3, 2025 · The Gemini API code execution feature enables the model to generate and run Python code and learn iteratively from the results until it arrives at a final output. You can use this code execution capability to build applications that benefit from code-based reasoning and that produce text output.

Feb 19, 2025 · Code Interpreter allows the agents to write and run Python code in a sandboxed execution environment. With Code Interpreter enabled, your agent can run code iteratively to solve more challenging code, math, and data analysis problems.

Jan 7, 2024 · In this post, I’ll guide you through building an AI Agent from scratch using OpenAI models and Python, with a particular focus on the Langchain library. We’ll integrate this agent into a Slack...

Nov 19, 2024 · We’ve added a subtask in Khoj that generates Python code to execute in order to fulfill some user intent. This code can be as simple as a mathematical calculation or as complex as charting a graph. The AI agent then executes this code in a sandboxed environment and returns the results to the user.

AICodeSandbox is a Python library designed to provide a secure and isolated environment for executing AI and machine learning code, particularly for Language Models (LLMs). It leverages Docker containers to create sandboxes, enabling safe execution of potentially untrusted AI-generated code.

Aug 18, 2024 · Secure Python sandbox for AI/ML code execution using Docker. Run LLM outputs safely. AICodeSandbox is a Python library designed to provide a secure and isolated environment for executing AI and machine learning code, particularly for Language Models (LLMs).

Execute JavaScript and Python code instantly without setup. Perfect for testing AI-generated code, sharing examples, and quick prototyping. Powered by YepCode.

11 hours ago · Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation.